Minimal belief change and Pareto-optimality

被引:0
|
作者
Schulte, O [1 ]
机构
[1] Univ Alberta, Dept Comp Sci, Edmonton, AB T6G 2H1, Canada
关键词
belief revision; decision theory;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper analyzes the notion of a minimal belief change that incorporates new information. I apply the fundamental decision-theoretic principle of Pareto-optimality to derive a notion of minimal belief change, for two different representations of belief: First, for beliefs represented by a theory-a deductively closed set of sentences or propositions-and second for beliefs represented by an axiomatic base for a theory. Three postulates exactly characterize Pareto-minimal revisions of theories, yielding a weaker set of constraints than the standard AGM postulates. The Levi identity characterizes Pareto-minimal revisions of belief bases: a change of belief base is Pareto-minimal if and only if the change satisfies the Levi identity (for "maxichoice" contraction operators). Thus for belief bases, Pareto-minimality imposes constraints that the AGM postulates do not.
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页码:144 / 155
页数:12
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